Segmentation of SAR images using textons

In this paper we investigate the use of the well known textons method [1] for the segmentation of SAR images. Two approaches were tested: using the MR8 filter bank and using only the pixel intensities. The K-NN classification algorithm and the SVM algorithm with both Linear and GHI kernels were used...

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Bibliographic Details
Published in2014 IEEE Geoscience and Remote Sensing Symposium pp. 1600 - 1603
Main Authors Seixas, Francisco, Silveira, Margarida, Heleno, Sandra
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
Histograms
Image segmentation
Kernel
Support vector machines
Synthetic aperture radar
Textons
Training
Vectors
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Summary:In this paper we investigate the use of the well known textons method [1] for the segmentation of SAR images. Two approaches were tested: using the MR8 filter bank and using only the pixel intensities. The K-NN classification algorithm and the SVM algorithm with both Linear and GHI kernels were used as classifiers. Results obtained with real amplitude SAR images for the separation between water and land demonstrate that the texton method is appropriate for the segmentation of SAR images.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2014.6945952